Sirius Innovation Lab
SiriusAI — the AI-native platform for the full investment lifecycle
End-to-end multi-asset class investment research and portfolio management, refined over 20 years and built for tomorrow.
The problem
Institutional investing runs on fragmented, manual tooling
Investors stitch together point tools and disconnected data to do work that should live in one system — slowing decisions and burying signal.
In their words
“We run due diligence in one system, monitoring in another and portfolio analytics in a third. Nothing reconciles, so my team lives in spreadsheets.”
“Our private book and our public sleeve sit on completely different platforms. Getting a single view of total exposure takes too long.”
“Every quarter we re-key the same manager data into four tools. By the time it's clean, the question we were trying to answer has already moved on.”
“I don't need another point solution. I need one place where diligence, risk and reporting actually talk to each other — across every asset class.”
The solution
Consolidate the entire investment lifecycle on one AI-native platform
To enable you to make better investment decisions, faster.
SiriusAI unifies manager due diligence, selection, monitoring and portfolio management across public and private assets on a single foundation — no fragmentation, no silos. Built on 20 years of institutional investment work.
The platform · Core modules
01
Data onboarding
Ingest and structure data from any source — Excel, PDF, legacy systems and APIs.
02
Research & diligence
Automated DDQs, manager research and document review, fully citation-backed.
03
Portfolio & risk
Construction, look-through, performance analytics and guideline monitoring.
04
Document intelligence
Every document indexed, semantically searchable and queryable by the AI agent.
05
Reporting
Generate investor-ready reporting and narratives grounded in source data.
06
Team & support
Dedicated data professionals plus training and ongoing customer support.
The platform · End to end
One platform, every asset class, end to end
Multi-asset inputs
- Public assetsEquities · fixed income · funds
- Private assetsPE · private credit · real assets
- AlternativesHedge funds · multi-strategy
- Documents & dataDDQs · ADV · letters · risk reports
One unified platform
End-to-end workflow
- 01 Data onboarding
- 02 Research & due diligence
- 03 Portfolio construction & risk
- 04 Monitoring & reporting
Agentic AI engine · Document intelligence · Human-in-the-loop governance
Decision-ready outputs
- Manager selection
- Portfolio construction
- Risk & compliance
- Investor reporting
- Research answers
Why we win
The difference is where we start
Most tools bolt AI onto fragmented data sources. We built a knowledge graph — a single unified platform with no data silos.
The architecture of difference
01
Single Source of Truth
A knowledge graph connecting every public and private investment relationship — not a stack of disconnected tools.
02
Whole lifecycle, not just DD
Pipeline to investing to portfolio construction, risk and reporting — all in a single platform.
03
Proven portfolio analytics
Battle-tested models and analytics, not a thin AI wrapper over someone else's data.
04
AI-native document layer
A comprehensive, agent-aware document management system at the core, not an add-on.
Team
Built by investors, quants and AI architects
20 years of institutional investment work, combined with deep AI and platform engineering.
Tim Duggan
Chief Technology Officer
Over 30 years of building high performance enterprise software solutions. Leads the development of SiriusAI.
Pooya Azadi
Chief AI Officer
Stanford research background; startups from pre-seed to Series D. Designed and built the AI at the heart of SIL's products.
Huaizhang Deng
Chief of Quantitative
Award winning Yale trained physicist with 20 years of quantitative expertise. Built SiriusAI's quantitative engine.
Team backgrounds & education include
Stanford · Yale
Technology · Road map
We adopt emerging tech early — quantum proves it.
We were early to AI — it's the foundation of this platform — and we apply the same instinct to quantum and whatever comes next. We've built quantum optimization tools, published research on quantum asset simulation, and worked hands-on with quantum algorithms. When quantum goes commercial, our clients get the most advanced tools first.
Development roadmap
Near-term development path
- Broader market and alternative-data coverage
- Open connectivity to external tools and apps via MCP
- Greater agent autonomy across the end-to-end workflow
- Secure data-room integration and instant document retrieval
- Email and messaging integrated directly into the platform
R&D
- Quantum optimization — algorithms built, research published
- Quantum applied to investment problems — a first-mover edge
- Open-weight models for in-house control, privacy and cost
- Personal agents that work on each professional's behalf
- Multi-agent collaboration — specialized agents in concert
Questions
Frequently asked questions
Transform data into decisions.